Senior Data Scientist

Nevada National Security Sites • Santa Barbara, CA

16h • Onsite

About The Position

Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site’s Cold War legacy. Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc. The Special Technologies Laboratory (STL) is a diverse, multi-mission laboratory delivering timely, innovative, high-impact national security solutions. STL is a key player and leader that provides the Nevada National Security Sites (NNSS), National Nuclear Security Administration (NNSA), and inter-agencies with capabilities that address national security requirements. NNSS-STL is seeking outstanding candidates for a Data Scientist position to work at STL located in Santa Barbara, CA. This position will support STL's core portfolios in Dynamic Experiments, Nonproliferation Research and Development, Cyber Physical Defense, and Strategic Systems and Intelligence by applying advanced data science techniques to complex problems. In this role, you will apply data science principles to support engineering and scientific efforts, focusing on developing and deploying models for analysis, prediction, and optimization. You will work with diverse datasets to extract insights, develop predictive models, and contribute to decision-making processes. Collaboration with a team of engineers, scientists, and technicians covering all phases of technology development, from concept to deployment, will be essential.

Requirements

• Bachelor’s in calculus-based technical (STEM) field plus at least 5 years relevant experience. Skill building experience must demonstrate either deeper technical specialization or additional cross-disciplinary knowledge. Graduate research experience may be recognized.
• Bachelor's degree in a quantitative field preferred, such as Computer Science, Statistics, Mathematics, or Computer Engineering.
• Demonstrated experience in developing and implementing reinforcement learning models.
• Proficiency in programming languages commonly used in data science (e.g., Python, R).
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Strong interest in chemical process optimization.
• Should be self-motivated and able to complete assigned tasks with minimal supervision.
• Excellent oral and written communication skills, including the ability to write reports and technical documents.
• Must possess a valid driver’s license.
• Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship, at least 18 years of age.
• Reviews and tests for the absence of any illegal drug as defined in 10 CFR Part 707.4 , “Workplace Substance Abuse Programs at DOE Sites,” will be conducted.
• Applicant selected will be subject to a Federal background investigation, required to participate in subsequent reinvestigations, and must meet the eligibility requirements for access to classified matter.
• Successful completion of a counterintelligence evaluation, which may include a counterintelligence-scope polygraph examination, may also be required.

Responsibilities

• Develop new and unique data-driven solutions to highly complex technical problems of broad scope. Solutions may require resolving conflicting customer expectations and design requirements, utilizing unconventional data sources, and cross-portfolio integration.
• Develop and implement reinforcement learning models for various applications.
• Conduct data analysis, develop statistical models, and build machine learning algorithms.
• Design and evaluate experiments to validate model performance and impact.
• Provide data-driven insights and recommendations to support strategic initiatives.

Benefits

• MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level